Exam

3 - Written exam - 70

Invigilated test

2 - Set exercises - 15

1 - Set exercises - 15

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Rigorous mathematical analysis of the following topics is covered in the module:
<ul><li>Logarithms/Exponential functions</li><li>Rules of Differentiation</li><li>Non-linear functions: Concave and convex functions</li><li>Unconstrained Optimisation [one variable]</li><li>Partial differentiation with functions of several variables</li><li>Unconstrained Optimisation [several variables]</li><li>Constrained optimisation</li><li>Rules of integration</li><li>Matrix Algebra</li><li>Introduction to Difference and Differential Equations</li></ul>

Feedback is provided in a number of ways throughout your module. This includes feedback you receive during teaching from both peers and lecturers and that provided for formative assessment. Following an assessment, you will be given your marks and feedback in line with the assessment regulations and policy. More information on the timing and type of feedback that will be provided for each assessment will be available from the module leader. <a href='https://www.citystgeorges.ac.uk/about/governance/policies/student-policies-and-regulations'>https://www.citystgeorges.ac.uk/about/governance/policies/student-policies-and-regulations</a>

This module will support the development of all the graduate attributes. Your module leader will provide you with information about how your learning, teaching and assessment activities support your development of these attributes. The graduate attributes are: - Always learning - Engaged in the world - Technical and digital - Connected Professional - Creating Impact

Self-directed - 

Directed Asynchronous - 

In-Person - 

Mathematics for Economics and Business

Fundamental Methods of Mathematical Economics

Maths for Economics

Essential Mathematics for Economic Analysis

EC1020 - Advanced Mathematical Methods for Economic Analysis

EC1020-PRD2-BLE-ALV1

Mathematics is better learned by regularly and actively engaging with the weekly topics discussed in class. Most of the weekly topics build on the learning and understanding of the topics covered in previous weeks. Hence, regular and constant engagement is key.
The best way to learn about mathematical analysis applied to economics is to actively engage in the classroom with the teaching team and then regularly practice by solving and interpreting exercises, testing your understanding through short quizzes and meet with the teaching team whenever you feel the need for some further clarification or support.
In this respect, the weekly topics will be delivered through a weekly 1-hour long lecture complemented by a 1-hour long tutorial that will give you the opportunity of testing your understanding through problem solving. You will also be asked to engage with a number of online resources (e.g. videos, quizzes, readings) that complement the lecture and help your learning of the weekly topics.
Every week, you will also be able to attend 1-hour of guided and supervised independent work where you will be able to go through additional exercises depending on the specific needs that you are facing. This contact time is complemented by online resources that include problem sets, online quizzes, videos and readings to support your learning through independent and regular study. If you do not have VISA restrictions, you will be given the option to choose whether to attend the tutorial online or on-campus.

Advanced Mathematical Methods for Economic Analysis

Display an attention to detail and a rigorous approach to the use of mathematics for economic problem solving.

Values and attitudes

Develop economic models using mathematical functions and interpret the results in an economic context.

Knowledge

Formulate systems of economic relationships through the use of matrix algebra.

Skills

Argue on the strengths and limitations of mathematical formulation in economic problem solving.

Formulate, interpret, and solve economic problems using mathematical reasoning.

Apply mathematical language to design and solve economic theories.

Compute, plot and distinguish types of stationary points.

Identify the most appropriate mathematical approach to the analysis and evaluation of a given economic theory.

Use mathematical functions to represent economic relationships and understand the economic implications of these representations.

Outline problems of constrained optimisation through mathematical functions and language.

Interpret complex and multidimensional economic relationships through simple yet informative mathematical analysis.

Identify how integration analysis applies to the investigation of key economics concepts and ideas.